The Comparative Advantage of Crude Oil in the Top 10 Oil-Producing Countries
Bibliographic record
Abstract
This paper investigates the comparative advantage of crude oil in the top 10 oil-producing countries through computing the Normalized Revealed Comparative Advantage (NRCA) index and further examines the determinants of this advantage using panel estimation technique. The results of the NRCA index showed that during the study period of 27 years (1990-2016) not all the top10 oil-producing countries have a comparative advantage in crude oil production. Countries like Iran, Iraq, Kuwait, Russia, Saudi, and UAE are found to have a comparative advantage in producing crude oil, while countries like Brazil, China, and the USA have no comparative advantage in producing crude oil. For Canada, its comparative advantage is only revealed just between 2006 and 2016. The result of the Panel ARDL suggested that in the long run, crude oil price (COP) and daily average of crude oil production (DAP) are found to be positive and significantly related to NRCA, whereas proven reserve (PR) and domestic demand for oil (DDO) are negative and significantly related to NRCA. In the short run, COP, ADP, and DDO have the same effect as in the long run and significantly related to NRCA, while PR is statistically insignificant. Finally, a bidirectional Granger-causality is detected between the variables except for the PR and NRCA where a unidirectional causality runs from PR to NRCA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".